Capturing Human Interaction Semantics in Meetings
会议中群体交互语义的获取方法研究

Meeting is an important and vital event in our daily life to solve questions, exchange information, share and create knowledge, so smart meeting system is one of the research hotspots in academia and industry. Current smart meeting systems mainly research on recognition and visualization of physical interaction, and less on human semantic in- teraction in meetings. Human semantic interaction is interaction activities with semantics which is done by participants with regard to current topic. We designed and implemented a method to capture human interaction semantics in meetings with Nave Baycs model via dealing with contributes in session, including head gesture, attention from others, speech tone, speaking time, interaction occasion, type of previous interaction and keywords. Experiments show that the recogni- tion accuracy rate of human interaction semantics can be up to 80. 1 0 0 using this method, which is effective in some degree.